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Provide industrial engineering support for production, quality, and new-model launches. Lead continuous improvement, design efficient workstations and material flow, analyze quality/warranty data, manage supplier quality, develop process documentation, perform root cause analysis, and mentor junior engineers. Support onsite manufacturing operations and occasional travel.

The Lead Network Engineer oversees the management and design of network infrastructure, including installation, troubleshooting, and security measures on various network equipment and systems, while ensuring compliance with IT policies and standards.

Design and develop predictive and prescriptive analytics, machine learning models, and BI solutions. Build ETL pipelines, extract and validate data, create dashboards and visualizations (Power BI), and provide data-driven insights for aftersales service retention. Collaborate with stakeholders to gather requirements, troubleshoot issues, document processes, and support ongoing iterative development.

This role involves leading tax provision and reporting, improving processes with technology, and mentoring a tax team while ensuring compliance with tax laws.

The Customer Experience Coordinator will enhance customer experiences by developing processes, integrating digital journeys, and collaborating across teams to improve customer engagement and quality.

The Data Scientist leads data science initiatives, combining technical expertise with business acumen to develop and validate models, deliver insights, and mentor junior members.

The Analyst will improve Nissan's residual value performance, support RV governance processes, analyze data, and collaborate across functions to optimize strategies.

The Senior Analyst, Supply Chain Compliance will ensure compliance with laws, analyze vendor data, implement procedures, and support strategic supply chain operations at Nissan.

Manage and design network infrastructure, including installation, configuration, troubleshooting, and maintenance of networking equipment, ensuring security and compliance.

The Sr. Data Scientist in Aftersales Support develops predictive analytics and optimization solutions, models data processes, and collaborates on advanced reporting and dashboards.